A Corpus of 21st Century Scots Texts

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Levenshtein Distance

Enter a word to find nearest neighbouring words, for example ahint

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Similar words to dalziel in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
dalziel (0) - 1 freq
dazzies (2) - 1 freq
dallie (2) - 13 freq
dallied (2) - 1 freq
dallies (2) - 5 freq
daniel (2) - 128 freq
dale (3) - 29 freq
daddie' (3) - 1 freq
daisies (3) - 20 freq
daill (3) - 1 freq
dullies (3) - 2 freq
dali (3) - 5 freq
hanzel (3) - 1 freq
rallies (3) - 7 freq
daddie (3) - 3 freq
dozie (3) - 5 freq
dakkil (3) - 1 freq
dailie (3) - 8 freq
daniela (3) - 2 freq
daled (3) - 5 freq
daniels (3) - 1 freq
baldie (3) - 23 freq
malkie (3) - 12 freq
dale' (3) - 1 freq
allied (3) - 4 freq
dalziel (0) - 1 freq
dallie (3) - 13 freq
daill (4) - 1 freq
dalyell (4) - 6 freq
dall (4) - 8 freq
dollie (4) - 1 freq
dazzies (4) - 1 freq
dallied (4) - 1 freq
dallies (4) - 5 freq
daniel (4) - 128 freq
deezie (5) - 1 freq
dizzies (5) - 1 freq
tulzies (5) - 1 freq
dulie (5) - 1 freq
dull (5) - 118 freq
failzies (5) - 1 freq
dail (5) - 7 freq
dally (5) - 1 freq
dillier (5) - 1 freq
dizzie (5) - 2 freq
dll (5) - 4 freq
dales (5) - 6 freq
dalai (5) - 2 freq
dailies (5) - 1 freq
callie (5) - 1 freq
SoundEx code - D424
daluege'll - 1 freq
dowlesslie - 1 freq
dalziel - 1 freq
dialeck-level - 1 freq
dalglish - 4 freq
dalgleish - 1 freq
dailygael - 2 freq
dlclue - 1 freq
MetaPhone code - TLSL
dowlesslie - 1 freq
dalziel - 1 freq
DALZIEL
Time to execute Levenshtein function - 0.218521 milliseconds
The Levenshtein distance is the number of characters you have to replace, insert or delete to transform one word into another, its useful for detecting typos and alternative spellings
Time to execute Double Levenshtein function - 0.394156 milliseconds
In a stroke of genius, this runs the Levenshtein function twice, once without vowels and adds the distance together, giving double weight to consonants.
Time to execute SoundEx function - 0.027599 milliseconds
Soundex is a phonetic algorithm for indexing names by sound, as pronounced in English. The goal is for homophones to be encoded to the same representation so that they can be matched despite minor differences in spelling.
Time to execute MetaPhone function - 0.043960 milliseconds
Metaphone is a phonetic algorithm, published by Lawrence Philips in 1990, for indexing words by their English pronunciation.[1] It fundamentally improves on the Soundex algorithm by using information about variations and inconsistencies in English spelling and pronunciation to produce a more accurate encoding, which does a better job of matching words and names which sound similar.
Time to execute Manually curated function - 0.000932 milliseconds
Manual Curation uses a lookup table / lexicon which has been created by hand which links words to their lemmas, and includes obvious typos and spelling variations. Not all words are covered.